From 6013d3c4a9afa81f8f7bdca4e3d9fe84639eb39b Mon Sep 17 00:00:00 2001
From: hnluo <haoneng.lhn@alibaba-inc.com>
Date: 星期五, 28 四月 2023 16:38:03 +0800
Subject: [PATCH] Merge pull request #441 from alibaba-damo-academy/dev_lhn
---
egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-online/infer.py | 4 ++--
1 files changed, 2 insertions(+), 2 deletions(-)
diff --git a/egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-online/infer.py b/egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-online/infer.py
index ecb1381..124d5ed 100644
--- a/egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-online/infer.py
+++ b/egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-online/infer.py
@@ -16,14 +16,14 @@
os.environ['CUDA_VISIBLE_DEVICES'] = str(gpu_list[gpu_id])
else:
os.environ['CUDA_VISIBLE_DEVICES'] = str(gpu_id)
- inference_pipline = pipeline(
+ inference_pipeline = pipeline(
task=Tasks.auto_speech_recognition,
model="damo/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-online",
output_dir=output_dir_job,
batch_size=1
)
audio_in = os.path.join(split_dir, "wav.{}.scp".format(idx))
- inference_pipline(audio_in=audio_in)
+ inference_pipeline(audio_in=audio_in, param_dict={"decoding_model":"normal"})
def modelscope_infer(params):
--
Gitblit v1.9.1